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- W1978066088 abstract "We propose a general treatment of random variables aggregation accounting for the dependence among variables and bounded or unbounded support of their sum. The approach is based on the extension to the concept of convolution to dependent variables, involving copula functions. We show that some classes of copula functions (such as Marshall–Olkin and elliptical) cannot be used to represent the dependence structure of two variables whose sum is bounded, while Archimedean copulas can be applied only if the generator becomes linear beyond some point. As for the application, we study the problem of capital allocation between risks when the sum of losses is bounded." @default.
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- W1978066088 date "2011-01-01" @default.
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- W1978066088 title "On the distribution of the (un)bounded sum of random variables" @default.
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- W1978066088 doi "https://doi.org/10.1016/j.insmatheco.2010.09.004" @default.
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